Grading

The course work will be a series of computational assignments each applying the models and algorithms developed in the lectures to real data. There will be a final project. Each graded assignment will constitute a predetermined percentage of the course grade. The usual “A” through “F” scale will be employed, with the following breakdown: 90-100=A; 80-89=B; 70-79=C; 60-69=D; below 60=F (consistent with university policy). Assignments and their respective weights will be as follows: Homework assignments 40%, Research report 40%, Class participation 5%, Final Presentation 15%.

The course requirements for graduate students and undergraduate students will differ mainly in the Research report (40% of the grade):

Graduate students will be required to conduct a thorough literature review on the subject of their research report. The instructor will provide a set or core references and the students will expand upon it to report on the state of the art in their chosen subject. Graduate students will need to outline possible approaches for improving the existing methods in the field, and the research report will be written in SIGGRAPH or IEEE Transactions format, not exceeding 8 pages, using LateX as if it were to be submitted for peer review.

Undergraduate students will be required to conduct a less comprehensive literature review on the subject of their research report. The instructor will provide all the references the students will be required to review in their chosen subject. The research report, for undergraduate students, will be written in plain research report format, not exceeding 8 pages, using the text editor of their choice.